A hybrid method of evolutionary algorithm and simple cell mapping for multi-objective optimization problems

Multi-condition multi-objective optimization using deep reinforcement learning

“…Although the proposed method in this study is conducted over a whole condition space, it is modified in this experiment for fair comparison. This is quite comparable to other studies using the Kursawe test function for evaluating their optimization methods [54][55][56][57]. In addition, when comparing the two cases, the average number of total function evaluations of ten runs is used for precise analysis.…”

Dynamic analysis and optimization of a cantilevered beam with both the acoustic black hole and the nonlinear energy sink

“…Cell mapping method was invented by Hsu for the global analysis of dynamical systems (Sun et al, 2019). In recent years, cell mapping method have been successfully developed to solve multi-objective optimization problems by Sun and his group (Ferna´ndez et al, 2016;He and Sun, 2018;He et al, 2017;Herna´ndez et al, 2013;Naranjani et al, 2017;Zhang et al, 2020). Cell mapping method, as a deterministic searching algorithm, discretizes the continuum design space Q into a collection of finite cells.…”